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Data Warehouse Architect Jobs (NOW HIRING)

Summary The Senior Enterprise Data Warehouse Architect is responsible for designing, implementing, and maintaining enterprise-level data & database designs, supporting data warehousing and advanced ...

Data Warehouse Architect Location: Herndon/Reston, VA Type: Full-Time Required Skills: * Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily ...

Data Warehouse Architect Location: Herndon/Reston, VA Type: Full-Time Required Skills: * Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily ...

Our challenge We are looking for a highly proficient Data Warehouse Architect to lead the design and implementation of our enterprise data solutions. The ideal candidate will possess strong expertise ...

Prolim is hiring for a Data Warehouse Architect for a leading client Location: Lansing, MI (Hybrid) Hybrid schedule: Required onsite days- Wednesdays and Thursdays Contract: Long term Job ...

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Data Warehouse Architect information

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How much do data warehouse architect jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data warehouse architect in the United States is $65.82, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $76.44 per hour, depending on experience, location, and employer.

What Is a Data Warehouse Architect?

Data warehouse architects design and maintain data management solutions. As a data warehouse architect, your job duties include analyzing your company’s data needs, developing database management solutions, and deploying data management software for storing and retrieving data from cloud or machine storage. In your daily work, you use software and databases such as Oracle, SQL, Java, J2EE, or Cognos. You need strong analytical and technical skills along with the ability to see the bigger picture regarding data needs to succeed in data warehouse architect jobs.

What is the difference between Data Warehouse Architect vs Data Engineer?

AspectData Warehouse ArchitectData Engineer
CredentialsTypically requires a degree in Computer Science or related field, with certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data EngineerSimilar credentials, often with certifications in cloud platforms and programming languages
Work EnvironmentDesigns and plans data warehouse solutions, collaborates with architects and business teamsBuilds, maintains, and optimizes data pipelines and infrastructure
Industry UsageCommonly employed in organizations with large-scale data storage needsWorks across industries to develop data processing systems

The Data Warehouse Architect focuses on designing the overall data storage solutions, while the Data Engineer implements and maintains the data pipelines. Both roles require similar skills and certifications but differ in their primary responsibilities within data management projects.

What are the key skills and qualifications needed to thrive as a Data Warehouse Architect, and why are they important?

To thrive as a Data Warehouse Architect, you need deep expertise in data modeling, database design, ETL processes, and a strong understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, ETL platforms (like Informatica or Talend), and cloud data warehousing solutions (such as Amazon Redshift or Snowflake) is crucial, and certifications in these technologies are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you bridge business requirements with technical solutions and collaborate across teams. These skills and qualities are essential for designing scalable, reliable data architectures that enable informed decision-making and support organizational growth.

What is a Data Warehouse Architect?

A Data Warehouse Architect is a specialized IT professional responsible for designing, building, and maintaining an organization's data warehouse systems. They create the architecture that allows large volumes of data to be collected, stored, and accessed efficiently for analysis and reporting. Data Warehouse Architects work with stakeholders to understand business requirements, choose appropriate database technologies, and ensure data integrity and security. Their role is critical for enabling data-driven decision making within an organization.

How does a Data Warehouse Architect typically collaborate with data engineers and business analysts during a project?

A Data Warehouse Architect works closely with data engineers to design and implement the underlying data infrastructure, ensuring that data flows efficiently from various sources into the warehouse. They also partner with business analysts to understand reporting needs and translate business requirements into technical specifications. Regular meetings and documentation help ensure alignment across teams, and the architect often guides both groups on best practices for data modeling and integration. This collaboration is key to delivering scalable, user-friendly data solutions that meet organizational goals.
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Data Warehouse Architect

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Posted 15 days ago


Job description

Company Description

Arete Technologies, Inc. offers set of innovative Consulting and Outsourcing services, bridging the gap between requirements and outputs of various dexterous and facile companies worldwide. The thrust of providing global deliverables with focus on providing paramount and unsurpassed services combined with cost saving solutions to the clients
We understand the business requirements in the present day corporate scenario and aspire to provide world-class services enabling the organization to burgeon and flourish while keeping the work-life balance intact. The Global delivery mechanism followed at Arete Technologies, Inc. saddles proficient schemas and unconventional channels to provide one-stop solutions for all your workforce needs.
our Team is an exquisite amalgamation of vast experiences of over 30 years in IT Consulting and Staffing industry. Connoisseurs in the field of staff augmentation for IT, we operate on 24 by 7 model with an aim of providing affordable and adept professionals with an assurance of satisfaction for both Consultants and Clients.
We are pre-eminent service providers in the field of staff augmentation, IT Consultancy, Software development, Web Development providing unexcelled services and focusing on both the employers and employees.

Job Description

Description: Designs, implements and supports data warehousing in a Teradata database environment. The position has responsibility for data base planning, development, administration and maintenance/ETL of the MDARD data warehouse.Either Webcam or In Person

Years of Experience:

5 or more years of Teradata physical modeling and indexing techniques. 

Job Description:

Relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Designs, implements and supports data warehousing. Implements business rules via stored procedures, middleware, or other technologies. Defines user interfaces and functional specifications. Responsible for verifying accuracy of data, and the maintenance and support of the data warehouse. Knowledge of data warehouse end-to-end implementation processes, from business requirement logical modeling, physical database design, ETL, end-user tools, database, SQL, performance tuning. Demonstrated problem resolution skills with team of persons, and strong leadership with implementation team Experience in data warehouse design and data modeling (both relational and dimensional) and development and maintenance of multi-dimensional data models. Development experience in implementation of data warehousing utilizing RDBMS. Understanding of data warehouse Metadata concepts, tools and different data warehouse methodologies. Expertise in SQL and proficiency in database tuning techniques. Responsible for the ongoing architecture and design of the data warehouse, data mart, and reporting environments. Develop strategies for flexibility and scalability, and define the future technical architecture direction for the business intelligence reporting physical environment.

Responsible for proper selection of appropriate hardware, software, tools and system lifecycle techniques for the different components of the end-to-end data warehouse architecture including ETL, metadata, data profiling software, database platform, performance monitoring, reporting and analytic tools. Defining and documenting the technical architecture of the data warehouse, including the physical components and their functionality. Setting or enforcing standards and overall architecture for data warehouse systems. Monitoring the data warehousing industry and assisting in establishing the organization's data warehousing strategy and section of strategic warehousing tools and techniques. Ensuring compatibility of the different components of the DW architecture and ensuring alignment with broader IT strategies and goals. Ability to educate the project teams on the standards and architecture of each component of the data warehouse architecture. Very strong written and oral communication skills, including some presentation skills.

skills required

Teradata physical modeling and indexing

Teradata ETL development

UNIX / Linux shell scripting

Unix / Linux operating system

Teradata SQL

Teradata security

ETL tools - Datastage

BI inquiry tools including Business Objects, BI-Query

Additional Information

All your information will be kept confidential according to EEO guidelines.